Description
Mastercard's Security Solutions Data Science team develops AI and machine learning capabilities to protect the global payments ecosystem from fraud and cyber threats. As a Senior AI Engineer, you will work at the intersection of AI engineering and big data engineering, improving models, data assets, and operational processes that power fraud detection.
Responsibilities:
- Support machine learning models that detect cyber-attacks, fraud, and improve decision intelligence.
- Create data pipelines and feature engineering workflows that enable model development and evaluation.
- Process and analyze large-scale datasets to uncover insights and improve model inputs.
- Strengthen monitoring, observability, and drift detection capabilities across production environments.
- Apply automation and MLOps practices to improve reliability, efficiency, and scalability.
- Develop AI-powered solutions that address engineering challenges and streamline operational processes.
- Partner with Data Scientists, Engineers, and Product teams to bring new capabilities into production.
- Contribute ideas that improve model performance, operational visibility, and team productivity.
Required Qualifications:
- Master's degree with relevant experience, or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
- Proficiency in Python, PySpark, SQL, and distributed data processing.
- Hands-on experience with feature engineering, large-scale data processing, and analytics.
- Hands-on experience with Databricks, Airflow, Hadoop, Linux/Unix, cloud-native technologies.
- Understanding of machine learning and deep learning techniques.
- Understanding of model deployment, evaluation, monitoring, and optimization.
- Knowledge of MLOps concepts including testing, automation, CI/CD, and version control.
- Ability to communicate technical concepts and collaborate across teams.
In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com.
The successful candidate will be offered a competitive pay based on location, experience, and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program.